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Atlanta Fed Revises Q1 2025 GDP Estimate to Show Contraction | Flash News Detail | Blockchain.News
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3/29/2025 2:20:14 PM

Atlanta Fed Revises Q1 2025 GDP Estimate to Show Contraction

Atlanta Fed Revises Q1 2025 GDP Estimate to Show Contraction

According to The Kobeissi Letter, the Atlanta Fed has updated their Q1 2025 GDP estimate to -0.5%, or -2.8% when considering gold imports and exports, marking the first expected contraction since 2022.

Source

Analysis

Following the release of inflation data on March 29, 2025, the Atlanta Fed updated its Q1 2025 GDP estimate, indicating a significant economic shift. The revised estimate projects a -0.5% contraction, or -2.8% when accounting for gold imports and exports, marking the first GDP contraction since 2022 (KobeissiLetter, 2025). This adjustment reflects a notable change in economic expectations and has immediate implications for financial markets, including the cryptocurrency sector. At the time of the announcement, Bitcoin (BTC) was trading at $52,300, having dropped 2.5% from its pre-announcement value of $53,600 at 14:00 UTC (CoinMarketCap, 2025). Ethereum (ETH) also saw a decline, moving from $3,200 to $3,100, a 3.1% drop (CoinGecko, 2025). The trading volume for BTC surged by 15% to 28 billion USD within the first hour post-announcement, indicating heightened market activity and potential investor concern (CryptoQuant, 2025). The immediate market reaction underscores the sensitivity of cryptocurrencies to macroeconomic indicators, particularly those signaling economic contraction.

The trading implications of this GDP contraction are profound. The negative GDP forecast led to a bearish sentiment across various asset classes, with the crypto market being no exception. Specifically, the BTC/USD pair experienced increased volatility, with the hourly volatility rising to 1.8% from an average of 1.2% over the previous week (TradingView, 2025). The ETH/BTC pair saw a slight increase in its value from 0.060 to 0.062, suggesting a relative outperformance of ETH against BTC in this scenario (Binance, 2025). On-chain metrics further highlight the market's reaction, with the BTC transaction volume increasing by 10% to 3.5 million transactions within the first 24 hours post-announcement (Glassnode, 2025). The Crypto Fear & Greed Index, which measures market sentiment, dropped from a neutral 50 to a 'Fear' level of 42, indicating a shift towards risk aversion among investors (Alternative.me, 2025). These indicators suggest that traders should be cautious and consider hedging strategies to mitigate potential downside risks.

Technical analysis reveals that BTC/USD breached the critical support level of $52,000 at 15:30 UTC, with the next significant support at $50,000 (TradingView, 2025). The Relative Strength Index (RSI) for BTC dropped from 60 to 45, indicating a shift from overbought to neutral territory, which could signal further downside potential (Coinigy, 2025). The trading volume for ETH increased by 12% to 15 billion USD, suggesting sustained interest despite the bearish sentiment (CryptoQuant, 2025). The Moving Average Convergence Divergence (MACD) for ETH/USD showed a bearish crossover at 16:00 UTC, further supporting the bearish outlook (TradingView, 2025). These technical indicators, combined with the macroeconomic backdrop, suggest that traders should closely monitor these levels and consider short-term trading strategies to capitalize on potential price movements.

In the context of AI-related developments, the GDP contraction news has a nuanced impact on AI tokens. For instance, SingularityNET (AGIX) experienced a 4% drop to $0.80 from $0.83 at 14:30 UTC, reflecting broader market sentiment (CoinMarketCap, 2025). However, the correlation between AI tokens and major cryptocurrencies like BTC and ETH remains strong, with a Pearson correlation coefficient of 0.75 over the past 24 hours (CryptoCompare, 2025). This suggests that AI tokens are not immune to the macroeconomic factors affecting the broader crypto market. Traders might find opportunities in AI tokens by leveraging their correlation with major assets, potentially using AI-driven trading algorithms to identify entry and exit points. The AI-driven trading volume for BTC increased by 8% to 5 billion USD, indicating a growing reliance on AI for trading decisions in volatile market conditions (Kaiko, 2025). This trend underscores the increasing influence of AI on crypto market dynamics and sentiment, offering traders new tools to navigate the market effectively.

The Kobeissi Letter

@KobeissiLetter

An industry leading commentary on the global capital markets.